I don't get it. You gave some people the drug and some people you didn't. It seems pretty straightforward to estimate how likely someone is to die if you give them medicine.
It seems pretty straightforward to estimate how likely someone is to die if you give them medicine.
Certainly it's straightforward. Here's how one can apply your logic. You gave some people [the ones whose disease has progressed the most] the drug and some people you didn't [because their disease isn't so bad you're willing to risk it]; the % of people dying in the first drugged group is much higher than the % of deaths in the second non-drugged group; therefore, this drug is poison and you're a mass murderer.
See the problem?
Yann LeCun, now of Facebook, was interviewed by The Register. It is interesting that his view of AI is apparently that of a prediction tool:
"In some ways you could say intelligence is all about prediction," he explained. "What you can identify in intelligence is it can predict what is going to happen in the world with more accuracy and more time horizon than others."
rather than of a world optimizer. This is not very surprising, given his background in handwriting and image recognition. This "AI as intelligence augmentation" view appears to be prevalent among the AI researchers in general.